(train_yolo) C:\Users\cooki\Desktop\desktop\TrainYourOwnYOLO-master\2_Training>python Train_YOLO.py Using TensorFlow backend. WARNING: Logging before flag parsing goes to stderr. W0103 13:44:54.464881 13148 deprecation_wrapper.py:119] From C:\Users\cooki\.conda\envs\train_yolo\lib\site-packages\keras\backend\tensorflow_backend.py:95: The name tf.reset_default_graph is deprecated. Please use tf.compat.v1.reset_default_graph instead. W0103 13:44:54.466006 13148 deprecation_wrapper.py:119] From C:\Users\cooki\.conda\envs\train_yolo\lib\site-packages\keras\backend\tensorflow_backend.py:98: The name tf.placeholder_with_default is deprecated. Please use tf.compat.v1.placeholder_with_default instead. W0103 13:44:54.479254 13148 deprecation_wrapper.py:119] From C:\Users\cooki\.conda\envs\train_yolo\lib\site-packages\keras\backend\tensorflow_backend.py:102: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead. W0103 13:44:54.480253 13148 deprecation_wrapper.py:119] From C:\Users\cooki\.conda\envs\train_yolo\lib\site-packages\keras\backend\tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead. W0103 13:44:54.483251 13148 deprecation_wrapper.py:119] From C:\Users\cooki\.conda\envs\train_yolo\lib\site-packages\keras\backend\tensorflow_backend.py:4138: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead. 2020-01-03 13:44:54.500336: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 2020-01-03 13:44:54.506586: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library nvcuda.dll 2020-01-03 13:44:54.535946: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1640] Found device 0 with properties: name: GeForce RTX 2080 SUPER major: 7 minor: 5 memoryClockRate(GHz): 1.83 pciBusID: 0000:01:00.0 2020-01-03 13:44:54.542713: I tensorflow/stream_executor/platform/default/dlopen_checker_stub.cc:25] GPU libraries are statically linked, skip dlopen check. 2020-01-03 13:44:54.547298: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1763] Adding visible gpu devices: 0 2020-01-03 13:44:55.079851: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1181] Device interconnect StreamExecutor with strength 1 edge matrix: 2020-01-03 13:44:55.085047: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1187] 0 2020-01-03 13:44:55.087824: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1200] 0: N 2020-01-03 13:44:55.092261: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1326] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6275 MB memory) -> physical GPU (device: 0, name: GeForce RTX 2080 SUPER, pci bus id: 0000:01:00.0, compute capability: 7.5) W0103 13:44:55.385091 13148 deprecation_wrapper.py:119] From C:\Users\cooki\.conda\envs\train_yolo\lib\site-packages\keras\backend\tensorflow_backend.py:1834: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead. W0103 13:44:59.251370 13148 deprecation_wrapper.py:119] From C:\Users\cooki\.conda\envs\train_yolo\lib\site-packages\keras\backend\tensorflow_backend.py:2018: The name tf.image.resize_nearest_neighbor is deprecated. Please use tf.compat.v1.image.resize_nearest_neighbor instead. Create YOLOv3 model with 9 anchors and 1 classes. C:\Users\cooki\.conda\envs\train_yolo\lib\site-packages\keras\engine\saving.py:1140: UserWarning: Skipping loading of weights for layer conv2d_59 due to mismatch in shape ((1, 1, 1024, 18) vs (255, 1024, 1, 1)). weight_values[i].shape)) C:\Users\cooki\.conda\envs\train_yolo\lib\site-packages\keras\engine\saving.py:1140: UserWarning: Skipping loading of weights for layer conv2d_59 due to mismatch in shape ((18,) vs (255,)). weight_values[i].shape)) C:\Users\cooki\.conda\envs\train_yolo\lib\site-packages\keras\engine\saving.py:1140: UserWarning: Skipping loading of weights for layer conv2d_67 due to mismatch in shape ((1, 1, 512, 18) vs (255, 512, 1, 1)). weight_values[i].shape)) C:\Users\cooki\.conda\envs\train_yolo\lib\site-packages\keras\engine\saving.py:1140: UserWarning: Skipping loading of weights for layer conv2d_67 due to mismatch in shape ((18,) vs (255,)). weight_values[i].shape)) C:\Users\cooki\.conda\envs\train_yolo\lib\site-packages\keras\engine\saving.py:1140: UserWarning: Skipping loading of weights for layer conv2d_75 due to mismatch in shape ((1, 1, 256, 18) vs (255, 256, 1, 1)). weight_values[i].shape)) C:\Users\cooki\.conda\envs\train_yolo\lib\site-packages\keras\engine\saving.py:1140: UserWarning: Skipping loading of weights for layer conv2d_75 due to mismatch in shape ((18,) vs (255,)). weight_values[i].shape)) Load weights C:\Users\cooki\Desktop\desktop\TrainYourOwnYOLO-master\2_Training\src\keras_yolo3\yolo.h5. Freeze the first 249 layers of total 252 layers. W0103 13:45:03.266769 13148 deprecation.py:323] From C:\Users\cooki\.conda\envs\train_yolo\lib\site-packages\keras\backend\tensorflow_backend.py:3080: add_dispatch_support..wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.where in 2.0, which has the same broadcast rule as np.where 8888888888888888888*********************************98888888888888888888888888888888888 ['C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/0000071d71a0a6f6.jpg 0,182,232,768,0 161,197,530,768,0 598,203,807,768,0 750,190,1016,768,0\n', 'C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/000023aa04ab09ed.jpg 233,182,1023,517,0 2,1,702,654,0\n', 'C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/000002b66c9c498e.jpg 21,163,204,603,0 182,224,300,601,0 331,263,368,361,0 279,243,352,414,0 420,281,503,365,0 505,271,611,388,0 639,269,765,480,0 599,261,688,380,0 811,154,986,485,0 750,198,880,511,0 25,715,288,1024,0 255,684,436,949,0\n', 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749,156,921,720,0 568,132,739,781,0 94,90,189,202,0 488,129,574,259,0 25,111,278,820,0 301,95,610,820,0 317,5,488,243,0 1,100,137,705,0\n', 'C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/000140f27cb00816.jpg 602,714,683,1023,0 267,625,288,672,0 36,637,76,715,0 0,614,34,714,0 479,622,513,687,0 458,620,479,650,0 528,624,547,661,0 546,625,562,660,0 560,604,580,654,0 293,641,312,677,0 113,627,124,647,0 453,602,475,626,0 342,624,355,647,0\n', 'C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/00018571f3c267da.jpg 720,165,891,768,0 231,193,349,733,0 429,351,577,621,0 315,359,454,703,0\n', 'C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/00019e09fe61747c.jpg 91,394,160,553,0 697,378,715,428,0 750,374,769,406,0 726,370,738,390,0 148,382,206,481,0 65,392,98,472,0\n', 'C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/000191087c2c9533.jpg 266,285,567,768,0\n', 'C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/00019bc020b24b32.jpg 695,149,782,391,0 979,182,1024,354,0 471,235,574,375,0 53,371,423,681,0 779,380,861,493,0 861,469,957,583,0 965,355,1024,529,0 396,222,719,453,0 362,491,549,683,0 814,144,843,203,0 814,212,863,261,0 821,233,986,509,0 916,196,973,247,0\n', 'C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/00019ee392d03976.jpg 57,101,796,912,0\n', 'C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/0001a1f45ad8e824.jpg 370,429,433,574,0 403,402,424,433,0 60,391,100,469,0 101,429,136,479,0 167,410,179,437,0 787,408,811,472,0 291,409,311,457,0 809,421,825,467,0 246,406,273,465,0 187,390,228,471,0 266,415,284,461,0 935,432,1023,542,0\n', 'C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/0001c43f78cd23e1.jpg 767,297,834,482,0 850,329,916,465,0 595,303,634,383,0 734,305,758,390,0 702,295,729,387,0\n', 'C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/0001d48938a45d49.jpg 622,286,691,546,0\n', 'C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/0001c626b9afb50c.jpg 458,191,524,307,0\n', 'C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/0001b2b3b13cfbe4.jpg 120,198,983,681,0\n', 'C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/0001b46b0b82ee29.jpg 355,254,404,399,0 310,384,515,683,0 670,355,690,371,0 509,388,603,546,0 841,366,859,393,0 984,376,1013,411,0 320,417,721,683,0 994,367,1023,413,0 748,398,801,502,0 694,395,779,582,0 899,464,1024,683,0 812,374,938,485,0 970,416,1024,463,0 662,370,692,417,0 588,376,624,417,0 697,363,721,395,0 736,363,775,401,0 726,414,1023,682,0\n', 'C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/0002024f996741eb.jpg 317,292,433,475,0 436,309,499,488,0 548,315,625,467,0 733,359,807,478,0 919,370,985,431,0 90,324,169,452,0 941,435,1024,683,0 870,552,998,683,0 546,490,734,683,0 448,415,581,683,0 291,446,507,683,0 15,414,75,484,0 0,385,17,500,0 222,366,261,484,0 163,346,257,537,0 93,373,188,499,0 740,435,916,683,0 679,401,775,524,0\n', 'C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/0001e27f4b156f49.jpg 343,159,558,683,0 447,168,650,561,0 572,352,923,682,0 727,2,1024,683,0\n', 'C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/0001e595b536c9ec.jpg 556,384,617,492,0 503,375,583,483,0 441,378,497,468,0\n', 'C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/000208a3f3477628.jpg 191,363,298,541,0 712,363,811,543,0\n', 'C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/0001fa6ab562fd2a.jpg 113,400,191,473,0 562,188,742,509,0 383,253,462,473,0 322,244,368,472,0 257,242,339,472,0\n', 'C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/0002347a67b7a730.jpg 133,368,249,546,0 2,373,203,699,0 422,339,583,468,0 280,403,491,660,0 815,439,962,655,0 594,369,887,699,0 410,466,707,699,0\n', 'C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/0002337b77943386.jpg 36,1,900,622,0\n', 'C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/0002172d94dfe46c.jpg 356,313,482,440,0\n', 'C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/000213f8efef7523.jpg 724,231,885,548,0\n', 'C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/00023f2cf3334fdc.jpg 116,4,768,1024,0\n', 'C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/000256419f7c57d8.jpg 38,304,205,511,0 471,268,540,461,0 569,292,626,492,0 663,296,708,476,0 781,293,819,438,0 885,313,937,437,0 947,302,999,377,0 725,311,737,348,0 867,315,881,356,0\n', 'C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/000243216b5a8e54.jpg 91,357,597,1024,0\n', 'C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/00025431f1dca713.jpg 98,1,612,1024,0\n', 'C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/000265efe8492bd9.jpg 21,0,353,257,0\n', 'C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/000266c1e4c17092.jpg 438,60,1023,670,0 60,9,552,670,0\n', 'C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/00026912315fd226.jpg 587,480,628,526,0'] W0103 13:45:04.406782 13148 deprecation_wrapper.py:119] From C:\Users\cooki\.conda\envs\train_yolo\lib\site-packages\keras\optimizers.py:790: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead. Train on 78 samples, val on 8 samples, with batch size 32. W0103 13:45:05.915314 13148 deprecation_wrapper.py:119] From C:\Users\cooki\.conda\envs\train_yolo\lib\site-packages\keras\callbacks.py:850: The name tf.summary.merge_all is deprecated. Please use tf.compat.v1.summary.merge_all instead. W0103 13:45:05.917313 13148 deprecation_wrapper.py:119] From C:\Users\cooki\.conda\envs\train_yolo\lib\site-packages\keras\callbacks.py:853: The name tf.summary.FileWriter is deprecated. Please use tf.compat.v1.summary.FileWriter instead. ------------------------------------------------------------------------------------------------------------------- Epoch 1/51 Traceback (most recent call last): File "Train_YOLO.py", line 161, in callbacks=[logging, checkpoint]) File "C:\Users\cooki\.conda\envs\train_yolo\lib\site-packages\keras\legacy\interfaces.py", line 91, in wrapper return func(*args, **kwargs) File "C:\Users\cooki\.conda\envs\train_yolo\lib\site-packages\keras\engine\training.py", line 1418, in fit_generator initial_epoch=initial_epoch) File "C:\Users\cooki\.conda\envs\train_yolo\lib\site-packages\keras\engine\training_generator.py", line 181, in fit_generator generator_output = next(output_generator) File "C:\Users\cooki\.conda\envs\train_yolo\lib\site-packages\keras\utils\data_utils.py", line 709, in get six.reraise(*sys.exc_info()) File "C:\Users\cooki\.conda\envs\train_yolo\lib\site-packages\six.py", line 693, in reraise raise value File "C:\Users\cooki\.conda\envs\train_yolo\lib\site-packages\keras\utils\data_utils.py", line 685, in get inputs = self.queue.get(block=True).get() File "C:\Users\cooki\.conda\envs\train_yolo\lib\multiprocessing\pool.py", line 657, in get raise self._value File "C:\Users\cooki\.conda\envs\train_yolo\lib\multiprocessing\pool.py", line 121, in worker result = (True, func(*args, **kwds)) File "C:\Users\cooki\.conda\envs\train_yolo\lib\site-packages\keras\utils\data_utils.py", line 626, in next_sample return six.next(_SHARED_SEQUENCES[uid]) File "C:\Users\cooki\Desktop\desktop\TrainYourOwnYOLO-master\Utils\Train_Utils.py", line 116, in data_generator image, box = get_random_data(annotation_lines[i], input_shape, random=True) File "C:\Users\cooki\Desktop\desktop\TrainYourOwnYOLO-master\2_Training\src\keras_yolo3\yolo3\utils.py", line 40, in get_random_data image = Image.open(line[0]) File "C:\Users\cooki\.conda\envs\train_yolo\lib\site-packages\PIL\Image.py", line 2766, in open fp = builtins.open(filename, "rb") FileNotFoundError: [Errno 2] No such file or directory: 'C:/Users/cooki/Desktop/desktop/TrainYourOwnYOLO/-master/Data/Source_Images/Training_Images/vott-csv-export/0000d59fa570d973.jpg'